| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Mississippi Valley St. | 17% | 12¢ | 16¢ | — | $56 | Trade → |
| Jackson St. | 86% | 85¢ | 86¢ | — | $33 | Trade → |
This market asks which team will win the Mississippi Valley St. at Jackson St. college football game and matters because it aggregates market participants' expectations about the on-field result.
Mississippi Valley State and Jackson State are NCAA Division I FCS programs and members of the Southwestern Athletic Conference (SWAC), both with histories as HBCU programs. Matchups between these regional teams are shaped by recruiting, coaching changes, and seasonal form; differences in resources and roster depth can influence outcomes from year to year.
Prediction market prices summarize how traders view the likelihood of each team winning and update as new information arrives (injuries, lineups, weather). Treat the market as a real-time indicator of consensus expectations rather than a guaranteed forecast.
The listed close time is TBD; the market will close at the platform-specified time (often before kickoff) or when the event creator sets it. Check the event page for official closing updates from KALSHI.
The two outcomes represent which team wins the game: Mississippi Valley State wins or Jackson State wins. College football games are decided by the official final score (including overtime if played), and the market settles to the official winner.
Resolution follows the platform's settlement policy: if the contest is not played or is not completed within the platform's resolution window, the market may be voided and funds returned. Consult KALSHI's official resolution rules on the event page for exact procedures.
Monitor the starting quarterback, leading running backs and receivers, any listed defensive starters (especially pass rushers and cornerbacks), and special teams players; changes to these statuses can materially affect pregame expectations.
Head-to-head history offers context about past meetings, but roster turnover, coaching changes, and current-season form typically have greater predictive value. Focus on recent performance indicators and current injury reports for near-term forecasting.